, Malith Nandasena2
, Andreas Hadjinicolaou3
, Mo Hameed Thoufeeq1,4
1Department of Gastroenterology, Sheffield University Hospitals NHS Trust, Sheffield, UK
2Department of Surgery, University of Sri Jayawardenapura Sri Lanka, Colombo, Sri Lanka
3Department of Gastroenterology, Cambridge University Hospital, NHS Trust, Cambridge, UK
4Clinical Lead (joint) Endoscopy South Yorkshire ICB, Sheffield, UK
© 2025 Korean Society of Gastrointestinal Endoscopy
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Conflicts of Interest
The authors have no potential conflicts of interest.
Funding
None.
Author Contributions
Conceptualization: NN, MHT; Data curation: NN, MN, AH; Formal analysis: NN, MHT, MN; Methodology: NN, MHT, MN; Project administration: MHT; Resources: NN, MY; Supervision: MHT; Validation: AH, NN, MN; Visualization: MHT, AH, MN; Writing–original draft: NN, MHT; Writing–review & editing: all authors.
| Simulation model | Description | Advantages | Limitations |
|---|---|---|---|
| VR simulators | Use computer-generated environments to replicate colonoscopy procedures. | Realistic tactile feedback, customizable scenarios, repeatable training sessions. | High cost; lacks exact replication of real patient variability. |
| Low-fidelity bench models | Physical models with simple structures to mimic colon anatomy (e.g., styrofoam models). | Low cost; suitable for early stages of skill acquisition. | Limited realism; does not simulate mucosal texture or tactile resistance of real colon tissues. |
| Animal-based models | Live or excised porcine models used to simulate human colonoscopy. | High anatomical fidelity; good for practicing therapeutic interventions. | Ethical concerns; high maintenance costs; logistical challenges. |
| 3D-printed models | Anatomically accurate colon models created using 3D printing technology. | Customizable, cost-effective, durable; can replicate specific pathologies. | Static structures; limited dynamic simulation of peristalsis or live tissue interactions. |
| Hybrid models | Combination of VR and physical models, integrating digital and tactile components. | Combines advantages of VR and bench models; enhances realism and interactivity. | Expensive; requires technical expertise to develop and maintain. |
| AR models | Overlays digital images onto real-world settings, enhancing physical models or live videos. | Integrates real-time feedback with physical interaction; innovative for advanced skill training. | Technology still in development; high costs; requires additional hardware. |
| Mentored live patient models | Supervised training on actual patients under controlled conditions. | Provides realistic, variable anatomy; excellent for assessing clinical decision-making skills. | Risk of patient harm; ethical concerns; limited practice opportunities. |
| Haptic feedback systems | Standalone systems focusing on replicating the tactile sensation of colonoscope manipulation. | Improves manual dexterity and loop management skills. | Often lacks visual realism; does not simulate full procedures. |
| Telementoring and remote training | Real-time guidance from experts via live video or augmented platforms. | Expands access to expert mentorship; reduces geographical barriers. | Requires robust internet connectivity and compatible devices; limits tactile guidance. |
| Cultural competency training | Emphasizes understanding diverse patient populations and improving communication skills. | Enhances patient satisfaction; reduces disparities in care. | Requires additional training modules; may increase training duration. |
| AI-driven feedback systems | Automated systems providing performance evaluation based on procedural data and video analysis. | Offers detailed, unbiased assessments; helps identify areas of improvement. | Requires integration with compatible hardware; may face resistance from traditional training systems. |
| Method | Training stage | Rationale |
|---|---|---|
| Virtual reality training | Beginner to intermediate | Ideal for learning basic scope navigation, loop reduction, and mucosal inspection in a risk-free environment. |
| AI | Intermediate to advanced | Supports skill refinement, real-time lesion detection, and procedural accuracy during clinical practice. |
| Three-dimensional -printed colon models | Beginner to intermediate | Useful for basic scope handling, anatomical familiarity, and practicing therapeutic interventions. |
| Augmented reality | Intermediate to advanced | Enhances live procedural training with advanced visualization and real-time feedback on anatomy and pathology. |
| Competency-based training | All stages | Adaptable for all skill levels; ensures mastery of specific competencies before progressing to more advanced tasks. |
| Telementoring and Remote Training | Intermediate to advanced | Suitable for trainees who can perform basic procedures and benefit from expert guidance for advanced cases. |
| Gamification of training | Beginner | Engages early learners by making skill acquisition enjoyable while building procedural knowledge. |
| Patient-centered metrics | Advanced | Emphasized when trainees handle live patients, focusing on safety, comfort, and communication skills. |
| AI-driven feedback systems | Intermediate to advanced | Provides data-driven evaluations during real or simulated procedures to refine technique and performance. |
| Cultural competency training | Advanced | Appropriate for trainees transitioning to independent practice, ensuring effective communication with diverse populations. |
VR, virtual reality; 3D, three-dimensional; AR, augmented reality; AI, artificial intelligence.
AI, artificial intelligence.
